The Jupyter Notebook is an open-source web application.
Jupyter Notebooks allow users to create, execute and share documents containing code, equations, visualisations and narrative text. This is an electronic version of the laboratory notebook that scientists keep to record what they did, when they did it, what they observed, and what result ensued.
Uses include: data cleaning and transformation, numerical simulation, statistical modelling, data visualisation, machine learning and much more.
The CloudStor SWAN interface is built on top of Jupyter, enabling users to write and run Notebooks using only a web browser.
Jupyter Notebooks are available in four different programming languages: R, Python, Octave and C++.
Additional code libraries in these languages can be imported and installed in a Notebook to meet different research needs.
To learn more about Jupyter Notebooks, visit the Jupyter website.